Published June 21, 2026
| Version v0.2.0
Software
Open
Lacuna: Cryptic Binding Pocket Discovery via Conformational Ensemble Analysis
Authors/Creators
Description
Lacuna discovers cryptic binding pockets in proteins by generating a conformational ensemble, detecting pockets per conformer, clustering across the ensemble, and ranking by druggability with a continuous crypticity score. Validated on 20 cryptic-pocket targets (17/20, 85%), exceeding the CryptoSite benchmark. Uses an Anisotropic Network Model backend (CPU, ~1-8 s/protein) with optional Boltz-2 partial diffusion for harder targets.
Notes
Files
mooreneural/lacuna-v0.2.0.zip
Files
(1.8 MB)
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md5:b3d8c39c49d571922eca33c58cd9e340
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Additional details
Related works
- Is supplement to
- Software: https://github.com/mooreneural/lacuna/tree/v0.2.0 (URL)
Software
- Repository URL
- https://github.com/mooreneural/lacuna